Bakgrunn og aktiviteter
Associate Professor in (Neural) Data Science at the Department of Mathematical Sciences
Previous positions:
2015 – 2018: Postdoctoral researcher in the Whitlock group at the Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory
June 2016: PhD in Theoretical Neuroscience Kavli Institute for Systems Neuroscience and Centre for
the Biology of Memory, Advisor: Yasser Roudi
April – May 2012: Condensed Matter, Statistical Physics and Biophysics, NORDITA
Visiting PhD Fellow, Stockholm, Sweden
Dec 2009: Master of Science in Computational Engineering, Purdue University
July 2006: Bachelor of Science in Applied Mathematics, University of Connecticut
2004 – 2010: Computational Methods Engineer, Pratt & Whitney, UTC, Hartford CT USA
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
Tidsskriftspublikasjoner
- (2019) Decoding of Neural Data Using Cohomological Feature Extraction. Neural Computation. vol. 31 (1).
- (2018) Efficient cortical coding of 3D posture in freely behaving rats. Science. vol. 362 (6414).
- (2018) Using persistent homology to reveal hidden covariates in systems governed by the kinetic Ising model. Physical review. E. vol. 97 (3).
- (2017) Learning with unknowns: analyzing biological data in the presence of hidden variables. Current Opinion in Systems Biology.
- (2017) The appropriateness of ignorance in the inverse kinetic Ising model. Journal of Physics A: Mathematical and Theoretical. vol. 50 (12).
- (2017) A Novel Mechanism for the Grid-to-Place Cell Transformation Revealed by Transgenic Depolarization of Medial Entorhinal Cortex Layer II. Neuron. vol. 93 (6).
- (2015) Correlations and functional connections in a population of grid cells. PloS Computational Biology. vol. 11 (2).
- (2015) Multi-neuronal activity and functional connectivity in cell assemblies. Current Opinion in Neurobiology. vol. 32.
- (2013) Grid cells require excitatory drive from the hippocampus. Nature Neuroscience. vol. 16 (3).
- (2013) Recurrent inhibitory circuitry as a mechanism for grid formation. Nature Neuroscience. vol. 16 (3).
- (2013) Learning and inference in a nonequilibrium Ising model with hidden nodes. Physical Review E. Statistical, Nonlinear, and Soft Matter Physics. vol. 87 (2).
- (2012) 702.06/DDD22 - Medial entorhinal cortex layer ii stellate cells are embedded within a recurrent inhibitory network. SFN Abstract Viewer/Itinerary Planner.
- (2012) 702.12/DDD28 - Entorhinal grid cells require excitatory drive from the hippocampus. SFN Abstract Viewer/Itinerary Planner.
- (2012) 702.08/DDD24 - An inhibitory network of grid cells. SFN Abstract Viewer/Itinerary Planner.
- (2012) 3899. Grid Cells Emerge From A Competitive Network. FENS.